中小型网站在高并发下的优化方案  

Optimization Schemes of Small-and Medium-sized Websites under High Concurrency

作　　者：张博 蒋志颀 ZHANG Bo;JIANG Zhiqi(First Research Institute of the Ministry of Public Security,Beijing 100048,China)

机构地区：[1]公安部第一研究所,北京100048

出　　处：《微型电脑应用》2021年第8期181-185,共5页Microcomputer Applications

摘　　要：以一个常见的电商网站为例,通过Apache JMeter测试工具发现系统在高并发访问下的性能瓶颈,引入基本性能调优、Nginx反向代理与负载均衡、水平扩展服务器集群及多级缓存等系统优化方案,逐步提升系统的并发访问能力。经实践,系统响应时间缩短94.7%,TPS提升2.17倍,系统性能优化效果显著。Taking a common e-commerce Website as an example,the article finds the performance bottleneck of the system under high concurrent access through Apache JMeter test tool,and introduces basic performance tuning,Nginx reverse proxy and load balancing,horizontal expansion server cluster,multi-level cache and other system optimization schemes.These can gradually improve the concurrent access capability of the system.Through practice,the system response time is shortened by 94.7%,TPS is improved by 2.17 times,which illustrates that the system performance are greatly improved.

关 键 词：高并发 性能瓶颈 反向代理 负载均衡 多级缓存 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]